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What is Nextnet?

Stop spending your valuable time navigating through countless databases or dealing with the complexities of various data formats and intricate queries. Instead, channel your energy into leveraging your intuition and expert knowledge to discover critical insights and follow captivating scientific avenues. We are excited to introduce Nextnet, an innovative digital platform that integrates the most recent breakthroughs in natural language processing, transparent artificial intelligence, software solutions, graph databases, and human-in-the-loop reinforcement learning to accelerate the pace of scientific research and development. Our mission is to compile the most comprehensive, human-curated dataset for reinforcement learning, aimed at exploring the relationships between scientific disciplines. With Sapiens’ integrated search interface, you can effortlessly tap into and connect with knowledge spread across diverse data sources. This not only enables you to search for well-known topics via a simple query but also allows you to delve into lesser-known subjects through our sophisticated conceptual search within an enduring knowledge network. By making use of these advanced tools, researchers can significantly boost their comprehension and foster innovation like never before, empowering them to make groundbreaking discoveries. Through collaboration and the sharing of insights, the potential for scientific advancement is limitless.

What is Galactica?

The vast quantity of information present today creates a considerable hurdle for scientific progress. As the volume of scientific literature and data grows exponentially, discovering valuable insights within this enormous expanse of information has become a daunting task. In the present day, individuals are increasingly dependent on search engines to retrieve scientific knowledge; however, these tools often fall short in effectively organizing and categorizing such intricate data. Galactica emerges as a cutting-edge language model specifically engineered to capture, synthesize, and analyze scientific knowledge. Its training encompasses a wide range of scientific resources, including research papers, reference texts, and knowledge databases. In a variety of scientific assessments, Galactica consistently outperforms existing models, showcasing its exceptional capabilities. For example, when evaluated on technical knowledge tests that involve LaTeX equations, Galactica scores 68.2%, which is significantly above the 49.0% achieved by the latest GPT-3 model. Additionally, Galactica demonstrates superior reasoning abilities, outdoing Chinchilla in mathematical MMLU with scores of 41.3% compared to 35.7%, and surpassing PaLM 540B in MATH with an impressive 20.4% in contrast to 8.8%. These results not only highlight Galactica's role in enhancing access to scientific information but also underscore its potential to improve our capacity for reasoning through intricate scientific problems. Ultimately, as the landscape of scientific inquiry continues to evolve, tools like Galactica may prove crucial in navigating the complexities of modern science.

Media

Media

No images available

Integrations Supported

Liberate

Integrations Supported

Liberate

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Nextnet

Company Location

United States

Company Website

getnextnet.com/product/

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

meta.com

Categories and Features

Categories and Features

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